ZeinBarhoum/RL-quadrotor

Reinforcement Learning for quadrotor trajectory planning and control

23
/ 100
Experimental

This project helps robotics engineers and researchers evaluate how different reinforcement learning (RL) algorithms perform at controlling a quadrotor during takeoff. You provide the quadrotor model within a simulation, and it outputs data and visualizations showing how well algorithms like SAC, DDPG, or PPO manage to achieve stable flight.

No commits in the last 6 months.

Use this if you are a robotics engineer or researcher experimenting with various RL approaches for quadrotor flight control in a simulated environment.

Not ideal if you need to control a physical quadrotor or require a production-ready flight control system.

robotics quadrotor-control reinforcement-learning flight-simulation aerospace-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 6 / 25

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Stars

72

Forks

3

Language

Python

License

Last pushed

Jun 10, 2023

Commits (30d)

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